Work with Us
Join our team at Logically Crafted
At Logically Crafted, we are always looking for talented and passionate individuals to join our team. If you are interested in working with a dynamic and innovative IT consulting company, check out our current job openings below. To apply, please send your resume and cover letter to careers@logicallycrafted.com.
Current Job Openings
Job Description
We are looking for a skilled Cloud Engineer to join our team. You will be responsible for designing, implementing, and maintaining our cloud infrastructure on leading platforms such as AWS, Azure, or Google Cloud Platform.
Responsibilities
- Design and implement cloud architectures and services.
- Manage and optimize cloud environments for performance and cost.
- Collaborate with development teams for seamless cloud integration.
- Ensure security and compliance across cloud platforms.
Requirements
- Bachelor’s degree in Computer Science or related field.
- 3+ years of experience with cloud platforms (AWS, Azure, GCP).
- Strong understanding of cloud security and best practices.
- Experience with infrastructure as code (Terraform, CloudFormation).
Job Description
We are seeking an AI/ML Engineer with a focus on Microsoft Azure. In this role, you will design and implement intelligent solutions using Azure Machine Learning, Cognitive Services, and other AI tools to solve complex business problems.
Responsibilities
- Develop and deploy machine learning models on Azure.
- Collaborate with data scientists and engineers to integrate AI solutions into existing platforms.
- Optimize algorithms for performance and scalability.
- Ensure robust monitoring and maintenance of deployed models.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- 2+ years of experience in machine learning development on Azure.
- Proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-Learn).
- Experience with Azure Machine Learning and Cognitive Services.
Job Description
We are looking for a dedicated MLOps Engineer to streamline the deployment, monitoring, and maintenance of machine learning models in production environments. This role is critical in ensuring smooth collaboration between data science and operations teams.
Responsibilities
- Develop and maintain CI/CD pipelines for ML models.
- Implement monitoring and alerting systems for production ML systems.
- Collaborate with data scientists to deploy scalable models.
- Manage infrastructure and automate routine tasks using containerization and orchestration tools.
Requirements
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Knowledge of CI/CD tools and best practices.
- Familiarity with cloud platforms (preferably Azure, AWS, or GCP) and infrastructure as code.
- Strong scripting skills (Python, Bash, etc.) and familiarity with ML frameworks.